Sample means, SDs, and selected correlations. حسب Erik Lykke Mortensen (7239170)

We compared the Fugl-Meyer (FMA) clinical assessment scores for individuals with stroke with their performance for each outcome measure. حسب Devin Sean Austin (20285144)

Mean amplitude values during a complete 360° rotation for the external oblique muscle. حسب Christoph Anders (4068499)

Mean amplitude values during a complete 360° rotation for the internal oblique muscle. حسب Christoph Anders (4068499)

Mean amplitude values during a complete 360° rotation for the rectus abdominis muscle. حسب Christoph Anders (4068499)

Effects of warming and nitrogen deposition on plant species diversity. Different lowercase letters indicated that there were significant differences in different nitrogen depositio... حسب Xuemei Xiang (20756894)

الموضوعات:

Means with standard errors across time points for the outcome of mental health knowledge. حسب Ana Beato (20489933)

Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... حسب Carmelo Gómez-Martínez (9384385)

ATGL-1 levels increase and lipid droplets decrease in response to <i>N. parisii</i> infection. حسب Hala Tamim El Jarkass (16625309)

Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. حسب Varun Tiwari (9258130)

Decreased expression of tight junction proteins and disruption of intestinal barrier integrity in DSS-induced colitis mouse model. حسب Mariam Wed Eladham (21439745)

Mean counts of fish caught per unit effort (± SE) per reef type. حسب Maryann S. Watson (16879881)

Generated spline library. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

Correlation coefficient matrix. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

RMSE versus learning rate. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

RMSE versus training parameters. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

Assembly process of machine recognition form. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

Process of steel truss incremental launching. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

CGAN and AutoML stacking device. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"

U-wave estimates versus R-matrix noise variance. حسب Zhe Hu (787283)

"…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"